► Due to the maturity of IP network technology and the provision of 4G mobile high speed networks, Internet-based services have become more popular. People now…
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▼ Due to the maturity of IP network technology and the provision of 4G mobile high speed networks, Internet-based services have become more popular. People now gradually change their way of communications from phone to the internet.
ããAs a result, the conversion of voice services to Internet services has reduced the revenue of telecom operators. However, the construction cost of broadband network and mobile phone base station remain the same, thereby drastically reducing the profit of telecom operators. In addition, reports from the NCC shows that the number of fixed-line telephone and mobile phone users is decreasing. Taiwanâs telecommunications market has been saturated. Therefore, Customer retention and customer churn management become important issues for telecom operators.
ããIn this work, we have engaged in the study of finding the possible churn customers. Various variables, including the enterprise customerâs unique variables, have been identified, and the Xgboost algorithm is used to establish the predict model. According to the predict results, about 74% of churned customers can be identified by our model. We further try to minimize revenue loss by setting the most appropriate threshold. The experimental results show that the AUC of the model is 80.2%, and the most suitable threshold is 0.72, resulting in the minimum loss of 3,221 units.
Advisors/Committee Members: Yih%20Hwang%22%29&pagesize-30">San-YihHwang (committee member), Hueimei Liang (chair), Ping-Yi Chao (chair).

Lin, Y. (2017). The Research on the Prediction of Enterprise Customer Churn on Voice Services. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629117-100050

Note: this citation may be lacking information needed for this citation format:Not specified: Masters Thesis or Doctoral Dissertation

Note: this citation may be lacking information needed for this citation format:Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lin Y. The Research on the Prediction of Enterprise Customer Churn on Voice Services. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629117-100050

Note: this citation may be lacking information needed for this citation format:Not specified: Masters Thesis or Doctoral Dissertation

► Service-Oriented Architecture (SOA) provides a flexible framework for service composition. A composite web service is represented by a workflow, and for each task within the…
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▼ Service-Oriented Architecture (SOA) provides a flexible framework for service composition. A composite web service is represented by a workflow, and for each task within the workflow, several candidate Web services which offer the same functionality may be available. In previous work (Hwang, Hsu, & Lee, 2014), Hwang et al. propose a service selection framework based on probabilistic QoS distributions of component services. Their method decomposes a global QoS constraint into a number of local constraints using the average QoS value of each candidate service. However, heterogeneous deviation among candidate services may lead to the suboptimal selection. We propose an initial service assignment finding method with considering the standard deviation of QoS distributions. The objective of service selection is to maximize the global QoS conformance. Experimental results show that the proposed approach significantly improves the performance in probabilistic QoS-based service selection method, in terms of both global QoS conformance and running time.
Advisors/Committee Members: Yuling Hsueh (chair), Chih-Ping Wei (chair), Yih%20Hwang%22%29&pagesize-30">San-YihHwang (committee member).

► The emergence of Web 2.0 has led to a new era of user generated content. More and more people tend to share their thinking, opinion…
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▼ The emergence of Web 2.0 has led to a new era of user generated content. More and more people tend to share their thinking, opinion and even user review of a specific product. Among all these textual data, not only useful paragraphs that are worth considering are in-cluded, there are also malicious comments and spams. Thus, how to determine the quality of text has become a serious problem, and a popular issue in the domain of text mining.
Most of the existing studies use the characteristic of tokens as the analysis target, which cannot represent the comprehensive structure of a document, but only the combination of words, or statistical data such as the length of the document. Rhetorical Structure Theory (RST) transform a document to a tree that have the characteristic of level according to the relation between text spans. By incorporating the concept of RST, we can have a more accu-rate result on analyzing text quality.
We proposed a process to analyze the quality of text, using NLTK (Natural Language Toolkit) to process the text, finding the potential predictor, and use different classification model to analyze real user reviews from Amazon.com. Also, an evaluation process is con-ducted to compare the result before and after adding RST features. Experiment shows that our model outperforms previous models which only consider the structure of word tokens.
Advisors/Committee Members: Yih%20Hwang%22%29&pagesize-30">San-YihHwang (committee member), Chih-Ping Wei (chair), Yihuang Kang (chair).

► Service-Oriented Architecture (SOA) is intended for the integration of heterogeneous applications. Complex business processes are composed by a group of specific Web services using WS-BPEL…
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▼ Service-Oriented Architecture (SOA) is intended for the integration of heterogeneous applications. Complex business processes are composed by a group of specific Web services using WS-BPEL (Business Process Execution Language), and these Web services may be designed by the enterprise itself or third-party services providers. Today there are many WS-BPEL engines that support the deployment and execution of WS-BPEL files. However, the WS-BPEL activities have to be pre-defined, and if at runtime a Web service call fails, the entire business process is pronounced to be failed, thereby jeopardizing the reliability of SOA. Although the WS- BPEL supports compensation mechanism, it is complex and not flexible. In this work, we propose a process design model to support dynamic Web services selection that eases the designerâs job. This model has been implemented, and the prototype is evaluated to demonstrate that it indeed improves the overall business process reliability.
Advisors/Committee Members: T.M. Chang (chair), Yih%20Hwang%22%29&pagesize-30">San-YihHwang (committee member), Chia-Mei Chen (chair).

▼ With the growth of digital content industry, publishers start to provide online services for ebook search, reading and downloading. Users can access to online resources from anywhere, any place with laptop or mobile devices at any time. Nowadays more and more libraries have purchased ebooks as an important part of the library collection. To access the online resources users can link directly to publisher's ebook portal or via the OPAC system. Compared to the library circulation process, ebooks are more convenient to patrons and improve the utilization of library online resources.
There are various kinds of ebooks available in the market, so libraries have to focus their investment on the most valuable online resources. Usage statistics report plays an important role in providing valuable information to libraries. It is usually based on the standard of COUNTER to generate the statistic reports, although it provides when and where users access to specific ebooks, it fails show the general topics and how they change.
In this study, we introduce a post process method to weighting the LDA topic model via the usage statistic report to emphasize the changes of topic and compare it to the classification method and subject heading method in the bibliographic, namely LCC and LCSH respectively. The result show that weighted topic model significantly affect the ranking of topics, and the topic model are independent from the classification method and the subject heading method in the bibliographic record.
Advisors/Committee Members: T.M. Chang (chair), Chia-Mei Chen (chair), Yih%20Hwang%22%29&pagesize-30">San-YihHwang (committee member).

► With the rapid development of social Web and electronic commerce, the potential consumers intend to seek for contents with product-related information before making a purchase…
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▼ With the rapid development of social Web and electronic commerce, the potential consumers intend to seek for contents with product-related information before making a purchase decision from various online resources. Among these resources, customer reviews provide the information of the opinion for various product features. In addition, the discussion boards consist of peer communication to exchange and share their experiences with each other. Therefore, in this study, we aim to propose a method that combines content and social network analysis to discover the valuable patterns for market analysis. The proposed method generates the social-preference matrix which includes each userâs product preference and his/her social role defined by clustering to bridge the relationships by employing association rules techniques. The results show that different product features are concerned with the specific social role. Our method can provide relevant insights for companies to launch effective marketing and design product customization and for consumers easily to get ideas about their purchase decisions. This study particularly investigates customer review and social network and explores how two social resources associated with each other to improve the insight into each userâs preference with a social role they act.
Advisors/Committee Members: Pei-Ting Chou (chair), Yih%20Hwang%22%29&pagesize-30">San-YihHwang (chair), Yi-Ling Lin (committee member).

► Web services have emerged as a de facto standard for encapsulating services within or across organization boundaries. Various proposals have been made to compose Web…
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▼ Web services have emerged as a de facto standard for encapsulating services within or across organization boundaries. Various proposals have been made to compose Web services into workflow so as to meet the goal previously unaccomplished by a single entity. This thesis intends to investigate the Web services-based workflow access control problem. It starts by analyzing the various access control constraints proposed in the literatures and presenting three primitive constructs that are capable of specify these constraints. It then proposes a Web service selection approach that dynamically chooses a performer for each task in the workflow, not only to satisfy all access control constraints currently but also to increase the chance of completing the entire process in the future. The proposed approach is evaluated using synthetic data and is shown to result in the execution that is less likely to violate any specified access control constraints.
Advisors/Committee Members: Wan-Shiou Yang (chair), Yih%20Hwang%22%29&pagesize-30">San-YihHwang (committee member), Te-Min Chang (chair).

► Recent enthusiasm in grid computing has resulted in a tremendous amount of research in resource scheduling techniques for tasks in a (scientific) workflow. There are…
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▼ Recent enthusiasm in grid computing has resulted in a tremendous amount of research in resource scheduling techniques for tasks in a (scientific) workflow. There are many factors that may affect the scheduling results, one of which is whether the application is computing-intensive or data-intensive. Most of the grid scheduling researches focus on a single aspect of the environments. In this thesis, we base on our previous work, a probability-based framework for dynamic resource scheduling, and consider data transmission overhead in our scheduling algorithms. The goal is to dynamically assign resources to tasks so as to maximize the probability of completing the entire workflow within a desired total response time. We propose two algorithms for the dynamic resource scheduling in grid environment, namely largest deadline completion probability (LDCP) and smallest deadline completion probability (SDCP). Furthermore, considering the data transmission overhead, we propose a suite of push-based scheduling algorithms, which schedule all the immediate descendant tasks when a task is completed. These are algorithms will be compared to the pull-demand scheduling algorithms in our previous work and workflow-based algorithms proposed by other researchers. We use GridSim toolkit to model the grid environment and evaluate the performance of the various scheduling algorithms.
Advisors/Committee Members: Wan-Shiou Yang (chair), Yih%20Hwang%22%29&pagesize-30">San-YihHwang (committee member), Te-Min Chang (chair).

► Living in an information-overloading age, the original information searching mechanisms are ineffective and impractical. As the e-commerce is more and more popular, using information technology…
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▼ Living in an information-overloading age, the original information searching mechanisms are ineffective and impractical. As the e-commerce is more and more popular, using information technology to discover the latent demand of customers becomes an important issue. Hence, a variety of recommendation techniques have been proposed and many of them have been implemented in real systems, mostly in online stores. Among the techniques, the content-based and collaborative filtering approaches are the ones broadly adopted and proved to be successful. Recently, social network-based recommendation approach has been proposed that takes into account the similarities of items with respect to their social closeness. The social network-based approach performs better than content-based approach in some scenarios and it can also avoid recommending articles that have high content similarity to a userâs favorite articles but low quality. Therefore, we propose three hybrid approaches, Switching, Proportional, and Fusion
that combine content-based and social network-based approaches in order to achieve a better performance. Our experimental result shows that even though the proposed approaches have pros and cons under different scenarios, in general they achieve better performance than individual
approaches. Besides, we generate some synthetic articles that have close content similarities to articles in our collection to evaluate the fidelity of each approach. The experimental results show that approaches incorporating social network information have lower chance to recommend these faked articles.
Advisors/Committee Members: Chih-Ping Wei (chair), Yih%20Hwang%22%29&pagesize-30">San-YihHwang (committee member), Wan-Shiou Yang (chair).

► Living in the information-overloading age, many people find it difficult to assimilate the information and to identify resources they need. As to a consumer, browsing,…
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▼ Living in the information-overloading age, many people find it difficult to assimilate the information and to identify resources they need. As to a consumer, browsing, searching, and buying a product on online stores is often a time-consuming and frustrating task with the flourishing development of e-commerce. Many shoppers who are interested in buying products on E-commerce websites end up finding nothing they want. Therefore, many E-commerce websites have implemented recommender systems that intend to provide consumers with personalized recommendations for various types of products and services. Some recent research has taken into account social influence in recommender systems in E-commerce. These recommender systems have been observed to achieve better accuracy of prediction, and have also overcome some of the problems of the previous methods. In this study, we propose a trust network-based recommendation framework that utilizes the trust relationship between users to generate recommendation. We employ PageRank algorithm for trust matrix adjustment and recommendation. In addition, we propose several assumptions that can be used to construct trust matrix, and we verify them by experiments. We finally identify two approaches for adjusting trust matrix. Bases on the trust and rating data collected from Epinion.com, we exercise several alternatives and evaluated many combinations of trust matrix adjustment and recommendation methods. Our experiment evaluation results show that using different pagerank for different users groups can generate better recommendation results. Moreover, we proposed a best hybrid method that achieves the best performance.
Advisors/Committee Members: Chih-Ping Wei (chair), Han-wei Hsiao (chair), Yih%20Hwang%22%29&pagesize-30">San-YihHwang (committee member).

► ããRecommendation techniques are developed to uncover usersâ real needs among large volume of information. Recommender systems help us filter information and present those similar to…
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▼ ããRecommendation techniques are developed to uncover usersâ real needs among large volume of information. Recommender systems help us filter information and present those similar to our tastes. As wireless technology develops and mobile devices become more and more powerful, new recommender systems appear to adapt to new implementation environment. We focus on travel recommender systems implemented in a mobile P2P environment using collaborative filtering recommendation algorithms which intend to provide real-time suggestions to travelers when they are on the move. Using the concept of incorporating other travelersâ suggestions to the next attraction, we let users exchange their ratings toward visited attractions and use these ratings as a basis of recommendation.
ããWe proposed six data exchange algorithms for travelers to exchange their ratings. The proposed methods were experimented in the homogeneous and heterogeneous environment. The experimental results show that the proposed data exchange methods have better recommendation hit ratio than content-based recommendation methods and better performance compared with other methods only using ratings of users when they meet face-to-face. Finally, all methods are compared and evaluated. An optimal method should be able to strike a balance between algorithm performance and the amount of data communication.
Advisors/Committee Members: Fu-ren Lin (chair), yih%20Hwang%22%29&pagesize-30">San-yihHwang (committee member), Shih-chieh Hsu (chair), Wan-shiou Yang (committee member).

► Web services have become the de facto standards as components for quickly building a business process that satisfies the business goal of an organization. Nowadays,…
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▼ Web services have become the de facto standards as components for quickly building a business process that satisfies the business goal of an organization. Nowadays, Web services have found its way into describing the functions of automatic tasks as well as manual tasks. An important part in the specification of a business process, especially for manual tasks, is the access control. This thesis considers both types of tasks involved in a Web services-based process with its corresponding access control problem and proposes a selection approach for choosing the performer for each task so as to satisfy all access control constraints. Based on the role-based access control model, we focus on two types of access control: separation of duties (SoD) and binding of duties (BoD). Both role-level and participant-level of SoDs and of BoDs that need to be dynamically enforced and these constraints are considered in this thesis. The proposed performer selection approach is evaluated by a workflow scenario and is shown to have the highest chance of satisfying all predefined access control constraints when compared to other methods.
Advisors/Committee Members: Fu-Ren LIN (chair), Yih%20Hwang%22%29&pagesize-30">San-YihHwang (committee member), Shih-Chieh Hsu (chair), W.S. Yang (chair).

► Nowadays, web services have been widely utilized on the Internet. The communication of organizations becomes much easier; thanks to the advances of computer and communication…
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▼ Nowadays, web services have been widely utilized on the Internet. The communication of organizations becomes much easier; thanks to the advances of computer and communication technologies and the inexpensive cost, and the integration of applications within and across business organizations is a trend. In general, there are two approaches in composing web services inside or outside an organization: orchestration and choreography. Previous work in the web service selection is usually based on orchestration model and focuses on the interest of a single party. However, in many application scenarios, business goals are achieved by pair-wise interactions among a set of WSs, and there is no single entity that is in charge of selecting web service for each task. Each web service can autonomously perform web service selection. By autonomy, we maintain that each WS is aware of only its partner web services. In such a choreographic environment, we study the kind of information that each web service should provide to its partner web services and how each web service should perform web service selection so as to maximize the chance of successfully accomplish a business goal. The proposed approach is evaluated by simulating 10,000 execution sequences of the target WS and assumed a fixed operation reliability for each delegation. The experimental results show that our proposed method is close to centralized method and better than other two selection methods, namely random and view-based-propagation-free.
Advisors/Committee Members: Shih-Chieh Hsu (chair), Yih%20Hwang%22%29&pagesize-30">San-YihHwang (committee member), Fu-ren Lin (chair), Wan-Shiou Yang (chair).

► The advance of mobile phone devices and wireless communication have dramatically change the way individuals do for their personal lives and businesses. Nowadays, people can…
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▼ The advance of mobile phone devices and wireless communication have dramatically change the way individuals do for their personal lives and businesses. Nowadays, people can not only talk with their peers located at different places, they can also get the desired information ubiquitously. Business strategies that are based on simple mobile phones have to be adapted to a complex mobile business ecosystem.
The mobile phone market in Guatemala has almost saturated, and the mobile operators have to come up with creative ideas to increase their revenues. This thesis explores what the userâs intentions toward mobile services in Guatemala. Understanding usersâ intension will allow entrepreneurs to create new business strategies that would fill an existing void that exists on the Guatemalan mobile market.
Advisors/Committee Members: Shih-ping Huang (chair), yih%20Hwang%22%29&pagesize-30">San-yihHwang (committee member), Shih-Chieh Hsu (chair).

► Despite recommender systems being useful, for some applications it is hard to accumulate all the required information needed for the recommendation. In today‟s ubiquitous environment,…
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▼ Despite recommender systems being useful, for some applications it is hard to accumulate all the required information needed for the recommendation. In today‟s ubiquitous environment, mobile devices with different characteristics are widely available. Our work focuses on the recommendation service built on mobile environment to support tourists‟ traveling need. When tourists visit a new attraction, their recommender systems can exchange data with the attraction system to help obtain rating information of people with similar tastes. Such asynchronous rating exchange mechanisms allow a tourist to receive ratings from other people even though they may not collocate at the same time.
We proposed four data exchange methods between a user and an attraction system. Our recommendation mechanism incorporates other users‟ opinions to provide recommendations once the user has collected enough ratings. Every method is compared under four conditions which attraction systems carry different amount of existing data. Then we compare these methods under different amount of existing rating data and shed the light on their advantages and disadvantages. Finally, we compare our proposed asynchronous methods with other synchronous data exchange methods proposed previously.
Advisors/Committee Members: Fu-Ren Lin (chair), Yih%20Hwang%22%29&pagesize-30">San-YihHwang (committee member), Wan-Shiou Yang (chair).

► Owing to the development of Internet, excessive online data drive users to apply tools to assist them in obtaining desired and useful information. Information retrieval…
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▼ Owing to the development of Internet, excessive online data drive users to apply tools to assist them in obtaining desired and useful information. Information retrieval techniques serve as one of the major assistance tools that ease usersâ information processing loads. However, most current IR models do not consider processing streaming information which essentially characterizes todayâs Web environment. The approach to re-building models based on the full knowledge of data at hand triggered by the new incoming information every time is impractical, inefficient, and costly.
Instead, IR models that can be adapted to streaming information incrementally should be considered under the dynamic environment.
Therefore, this research is to propose an IR related technique, the incremental aspect model (ISM), which not only uncovers latent aspects from the collected
documents but also adapts the aspect model on streaming documents chronologically.
There are two stages in ISM: in Stage I, we employ probabilistic latent semantic indexing (PLSI) technique to build a primary aspect model; and in Stage II, with out-of-date data removing and new data folding-in, the aspect model can be expanded using the derived spectral method if new aspects significantly exist.
Three experiments are conducted accordingly to verify ISM. Results from the first two experiments show the robust performance of ISM in incremental text clustering tasks. In Experiment III, ISM performs the task of storylines tracking on the 2010 Soccer World Cup event. It illustrates ISMâs incremental learning ability to discover different themes around the event at any time. The feasibility of our proposed approach in real applications is thus justified.
Advisors/Committee Members: Wen-Feng Hsiao (chair), Te-Min Chang (committee member), Yih%20Hwang%22%29&pagesize-30">San-YihHwang (chair), Chien-Chin Chen (chair).

► Accompanying with the Internet growth explosion, more and more information disseminates on the Web. The large amount of information, however, causes the information overload problem…
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▼ Accompanying with the Internet growth explosion, more and more information disseminates on the Web. The large amount of information, however, causes the information overload problem that disturbs users who desire to search and find useful information online. Information retrieval and information filtering arise to compensate for the searching and comprehending ability of the users. Recommender systems as one of the information filtering techniques emerge when users cannot describe their requirements precisely as keywords.
Collaborative filtering (CF) compares novel information with common interests shared by a group of people to make the recommendations. One of its methods, the Model-based CF, generates predicted recommendation based on the model learned from the past opinions of the users. However, two issues on model-based CF should be addressed. First, data quality of the rating matrix input can affect the prediction performance. Second, most current models treat the data class as the nominal scale instead of ordinal nature in ratings.
The objective of this research is thus to propose a model-based CF algorithm that considers data reliability and data scale in the model. Three experiments are conducted accordingly, and the results show our proposed method outperforms other counterparts especially under data of mild sparsity degree and of large scale. These results justify the feasibility of our proposed method in real applications.
Advisors/Committee Members: Yih%20Hwang%22%29&pagesize-30">San-YihHwang (chair), Te-Min Chang (committee member), Chien-Chin Chen (chair), Wen-Feng Hsiao (chair).

► Living in the information-overloading age, it is difficult to find the right information and identify the resources they need on the websites. As to a…
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▼ Living in the information-overloading age, it is difficult to find the right information and
identify the resources they need on the websites. As to a user, it is time-consuming in browsing,
searching, and making a decision to buy products on online stores. Therefore, many
E-commerce websites have implemented recommender systems that intend to provide users
with professional recommendation for various types of products and services. Although many
recommendation methods have been proposed, there are still some problems like the sparsity
and the cold start problems. In addition, some researchers observe there exist users who are
biased and products that are controversial. We conjecture that ratings given by biased users or
given to controversial products may have impact on estimation accuracy of recommendation. In
this thesis, we will examine the measures for user bias and product controversy and propose
trust-based-recommendation techniques that take them into account. We evaluate the proposed
techniques using the web of trust and rating data collected from the Epinions.com website. It is
found that properly setting some parameters, the proposed trust network-based method that
incorporates user bias achieve higher recommendation accuracy.
Advisors/Committee Members: Wang-Sho Yang (chair), Yih%20Hwang%22%29&pagesize-30">San-YihHwang (committee member), Fu-Ren Lin (chair).

► In recent years, Web services had been widely used on the Internet. Thanks to the convenient communication technologies and their inexpensive cost, communications between organizations…
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▼ In recent years, Web services had been widely used on the Internet. Thanks to the convenient communication technologies and their inexpensive cost, communications between organizations is much easier, and Web services have become a de-facto standard for organizations to provide information and services. There are two different perspectives to describe Web service composition: orchestration and choreography. Works that verify a choreography model so as to alleviating some correctness problem such as deadlock have also been proposed. However the verification of implementations based on a choreography model has not be addressed. In this thesis, we propose an approach to verify the conformance of a set of Web services to a given choreography model and prune some candidate Web services which do not comply with the choreography model to avoid discordance with the choreography model and run-time errors. The proposed approach is evaluated by simulating 10,000 execution sequences of composite Web services. The experimental results show that our proposed method improves the performance of success rate and space usage by pruning the unsuitable candidate Web services.
Advisors/Committee Members: Fu-ren Lin (chair), Hsin-Hui Lin (committee member), Wan-Shiou Yang (chair), Yih%20Hwang%22%29&pagesize-30">San-YihHwang (committee member).

► Service-oriented Architecture is now an important issue when it comes to program development. However, there is not yet an efficient and effective way for developer…
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▼ Service-oriented Architecture is now an important issue when it comes to program development. However, there is not yet an efficient and effective way for developer to obtain appropriate component. Current researches mostly focus on either textual meaning or ontology relation of the services. In this research we propose a hybrid approach that integrates both types of information. It starts by defining important attributes and their weights for web service discovery using Multiple Criteria Decision Making. Then a method of similarity calculation based on both textual and ontological information is applied. In the experiment, we collect 103 real-world Web services, and the experimental results show that our approach generally performs better than the existing ones.
Advisors/Committee Members: Wan-Shiou Yang (chair), Yih%20Hwang%22%29&pagesize-30">San-YihHwang (committee member), Fu-Ren Lin (chair).

► Composing different Web services into a structured and complex automatic workflow is the core of Service-Oriented-Architecture, and the de-facto composition standard is WS-BPEL. However, most…
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▼ Composing different Web services into a structured and complex automatic workflow is the core of Service-Oriented-Architecture, and the de-facto composition standard is WS-BPEL. However, most compositions using BPEL specify the constituent Web services at design time. Once the invocation of any Web service fails (due to network failure, server failure, or interface mismatch), the entire process is pronounced failed. Dynamic Web service selection is hence preferred in many scenarios and has been extensively studied in the past. However, there are relatively fewer works for dynamic Web service binding, especially using WS-BPEL as the composition language.
Previous works for dynamic Web service binding proposed using delegator or building an extension layer upon the original BPEL framework to handle dynamic Web service binding. However, most works assume that all candidate Web services have the same specification. In this thesis, we consider both heterogeneous Web service interfaces and dynamic Web service binding. To do so, we use WS-BPEL 2.0 extension activity for invoking a task. In addition, the set of candidate Web services for each task as well as conversion rules for interface mapping and data conversion have to be specified by the designer. Experimental results show that our approach has superior performance in terms of response time and reliability.
Advisors/Committee Members: Yih%20Hwang%22%29&pagesize-30">San-YihHwang (committee member), Shang-Pin Ma (chair), Chih-Ping Wei (chair).

► In Taiwan, there are thousands of aphasic patients who need professional rehabilitation service. The shortage of therapists causes two problems: 1) not all patients can…
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▼ In Taiwan, there are thousands of aphasic patients who need professional rehabilitation service. The shortage of therapists causes two problems: 1) not all patients can make clinic appointment at the desired time and 2) the average length of rehabilitation session is reduced. These patients need a way to satisfy the need and improve the quality of aphasic treatment.
Dephasia is a computer system for aphasic rehabilitation based on Web and iPad. In this thesis, we proposed a way to provide real-time evaluation for Chinese speech input in aphasic treatment on the client-side for two types of questions, namely repeating sentence and naming practice. This extension is based on OpenEars, a free shared-source SDK for iPhone Voice Recognition and text to speech. We propose some designs and modification to adapt the system to aphasic treatment.
We evaluate our proposed approach using 156 samples from 10 different patients. The evaluation is based on accuracy and efficiency running on iPad2, iPad4 and MBP. The result shows that for ordinary recordings, the Pearson correlation between scores given by proposed solution and the therapists could reach up to 0.59, and the recognition time is within 5 seconds. The result shows that it is possible to apply speech recognition to speech therapy to provide real-time feedback on client-side.
Advisors/Committee Members: Chih-Ping Wei (chair), Chia-Ping Chen (chair), Yih%20Hwang%22%29&pagesize-30">San-YihHwang (committee member), Nai-Wen Chang (chair).

► Equipment and route planning of remote fiber test systems, currently only designed manually, is quite labor intensive. Poor route planning will not only increases the…
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▼ Equipment and route planning of remote fiber test systems, currently only designed manually, is quite labor intensive. Poor route planning will not only increases the cost of hardware but also run the risk of causing some cables not monitored.
This thesis intends to develop a route planning algorithm so as to build a good model. This algorithm will help improve the efficiency and effectiveness of the planning staff, resulting in the proper procurement of equipments needed in a short time. The resultant model is able to effectively monitor the failure in the optical fiber transmission quality.
The proposed algorithm incorporates genetic algorithm to quickly get an acceptable answer. Although the proposed algorithm does not always produce an optimal allocation plan, further improvement can be done by numerous computing and take the best result. The experiments on real environments show that our algorithm is more efficient than manual work and achieves comparable allocation plan. Compared to the greedy algorithm, our algorithm obtains a much better allocation plan.
Advisors/Committee Members: Chao-Min Chiu (chair), Yih%20Hwang%22%29&pagesize-30">San-YihHwang (committee member), Wan-Shiou Yang (chair).

► With the advance of the Internet and the clouding technology, an ever-increasing amount of informations flows continuously on the Internet every day. Moreover, various kinds…
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▼ With the advance of the Internet and the clouding technology, an ever-increasing amount of informations flows continuously on the Internet every day. Moreover, various kinds of discussion forums are important platforms for getting the consumer's ideas and opinions, because they represent important sources for consumer experiences. Learning from consumersâ positive or negative comments allows one to observe the market trend, and subsequently find out the most suitable branding strategies in the future. To this end, text mining technology will be able to assist us to extract useful information from the amounts of unstructured data.
Most of previous researches on branding use questionnaires to acquire brand reputation, brand satisfaction, and so on and to obtain the consumer buying behavior research for analyzing the brand sales. However, we observe that many of these kinds of information are available in the discussion forums, in the form of textual data. This research defines three dimensions of brand loyalty and their associated keywords. Based on these keywords, we measure brand loyalty. This study uses smart phones as an example and collect data from Mobile01, the popular forum website in Taiwan. We compare eight brands in terms of their brand loyalty.
The study finds that sales of smartphones of different brand increase over the years in Taiwan's market, yet not every brand interest increases with the year. Based on our statistical analysis of each season, we find that not every new products can get consumerâs immediate attention.
In the study of the three dimensions of brand loyalty, recommendation willingness is mostly expressed by consumers, and its keywords include selection, the same, willing to, and so on. The second is the price tolerance, followed by repurchase willingness.
This study concludes that Taiwan's market sales of smartphones are not highly related to brand loyalty. Generally speaking, the brand loyalty for Taiwan smartphones is relatively higher that for Korean products.
Advisors/Committee Members: Yih%20Hwang%22%29&pagesize-30">San-YihHwang (committee member), Wan-Shiou Yang (chair), Shin-Chieh Hsu (chair).

Chien, H. (2014). A Study of using text mining techniques for brand loyalty extraction - Using the smartphone as an example. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0603114-141038

Note: this citation may be lacking information needed for this citation format:Not specified: Masters Thesis or Doctoral Dissertation

Note: this citation may be lacking information needed for this citation format:Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chien H. A Study of using text mining techniques for brand loyalty extraction - Using the smartphone as an example. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0603114-141038

Note: this citation may be lacking information needed for this citation format:Not specified: Masters Thesis or Doctoral Dissertation

► Decision making is a human activity that we perform all the time, from a simple game to a complex stock investment. It is the most…
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▼ Decision making is a human activity that we perform all the time, from a simple game to a complex stock investment. It is the most important activity in human life. Recently, researchers have applied neuroscience methods to investigate how human brains make decisions. The research area is called decision neuroscience. Due to the complexity of the brain, however, research findings reported in literature are often inconsistent. Although the findings may be useful in some sense, inconsistent findings often lead to confusion. The inconclusive findings also make the research stream controversial, which indicates a need for aggregation.
One way to derive more informative conclusion from inconsistent findings is to conduct a meta-analysis on existing literature. In order to fill the gap, therefore, this study applies the technique of multi-level association rules to develop a data mining system for identifying brain association with different decision tasks, including risk, ambiguity, trust, rewards, and so on. We used published literature in neurodecision making to code our raw data and use the multi-level association rule technique to find the association between tasks and functional areas in human brain. A website for this purpose has been built and 100 coded articles are used to evaluate the identified brain associations. This system can help users better understand the relationship between brain areas and different decision tasks.
Advisors/Committee Members: Deng-Neng Chen (chair), Yih%20Hwang%22%29&pagesize-30">San-YihHwang (chair), Ting-Peng Liang (committee member).

► Asiaâs New Bay Area, a red-hot project in Kaohsiung, will undoubtedly become a new landmark in Kaohsiung City as a prestigious housing and commercial area.…
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▼ Asiaâs New Bay Area, a red-hot project in Kaohsiung, will undoubtedly become a new landmark in Kaohsiung City as a prestigious housing and commercial area. Inside Asiaâs New Bay Area, all architectural programs have been designed according to international standards and in keeping with green architectural philosophy. These golden architectural programs notably include the Kaohsiung World Trade Center, Oceanic Harbor Passenger Center, Kaohsiung City Library, River Bank Light Mass Rapid Transit System, Office Mansion of Taiwan Harbor Corporation, and the six-star Asian BURJ AL ARAB among others. These milestone buildings will have a positive effect on the real estate market, helping Kaohsiung to boost its competitive edge in the international community and, in turn, lure both foreign and domestic entrepreneurs, investors and real estate buyers.
ããIt is strongly believed that the most deluxe housing projects will appear in Asiaâs New Bay Area. The development potential in the surrounding areas can also not be overlooked. In the vicinity, construction projects include medium and large-scale residential buildings over 60 ping (1 ping = 3.3 square meters = 36 square ft) as well as a handful of deluxe high-rise buildings.
ããThe present study is based on existing literature as well as in-depth questionnaires devised by business, academic and government experts with market and environmental analysis. By including the perspectives of construction firms, local regional characteristics, and future development trends, in addition to reassessing managerial strategies, the Superior Garden Project will be used as a case study with equal emphasis on both theory and practice.
The present study contains the following highlights:
ãI. Based on existing literature, advantages and disadvantages are analyzed of the deluxe housing market in Asiaâs New Bay Area and the surrounding area.
ãII. Based on existing literature and in-depth interviews with experts, ways are identified of putting the unique characteristics and advantages of Asiaâs New Bay Area to best use, and factors affecting residential projects are also identified.
ãIII. Based on existing literature and in-depth interviews with experts, future development trends in the deluxe housing market in Asiaâs New Bay Area are analyzed.
ãIV. A case study and analysis is presented of a typical deluxe housing program in Asiaâs New Bay Area, the Superior Garden Project.
ãV. Based on in-depth interviews with the local building industry, managerial policies and strategies are identified to provide hands-on reference for building and other industries as means of sustainable development.
Advisors/Committee Members: Yih%20Hwang%22%29&pagesize-30">San-YihHwang (chair), Jen-Her Wu (committee member), Chi-Cheng Wu (chair).

Pan, Y. (2014). The Study On The Development Trend Of The Luxury Housing Market Located At Asia's New Bay Area In Kaohsiung : The Case Study Of The E-Pin Garden Building. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0714114-112738

Note: this citation may be lacking information needed for this citation format:Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pan, Ya-jung. “The Study On The Development Trend Of The Luxury Housing Market Located At Asia's New Bay Area In Kaohsiung : The Case Study Of The E-Pin Garden Building.” 2014. Thesis, NSYSU. Accessed March 21, 2019.
http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0714114-112738.

Note: this citation may be lacking information needed for this citation format:Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pan, Ya-jung. “The Study On The Development Trend Of The Luxury Housing Market Located At Asia's New Bay Area In Kaohsiung : The Case Study Of The E-Pin Garden Building.” 2014. Web. 21 Mar 2019.

Vancouver:

Pan Y. The Study On The Development Trend Of The Luxury Housing Market Located At Asia's New Bay Area In Kaohsiung : The Case Study Of The E-Pin Garden Building. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 Mar 21].
Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0714114-112738.

Note: this citation may be lacking information needed for this citation format:Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pan Y. The Study On The Development Trend Of The Luxury Housing Market Located At Asia's New Bay Area In Kaohsiung : The Case Study Of The E-Pin Garden Building. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0714114-112738

Note: this citation may be lacking information needed for this citation format:Not specified: Masters Thesis or Doctoral Dissertation

► The advance of user-generated content (UGC) inspires knowledge sharing among Internet users. A good example is the well-known travel site TripAdvisor.com, which enables users to…
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▼ The advance of user-generated content (UGC) inspires knowledge sharing among Internet users. A good example is the well-known travel site TripAdvisor.com, which enables users to share their experiences and express their opinions on attractions, accommodations, restaurants, etc. The UGC about travel provide precious information to the users as well as staff in travel industry. In particular, how to find reviews that are noteworthy to hotel is critical to the success of hotels in the competitive travel industry.
We have employed two hotel managers to conduct a preliminary examination on the hotel reviews of Tripadvisor.com and found noteworthy reviews can be characterized by their content features, sentiment features, and quality. Through the experiments using tripadvisor.com data, we found that all the features are important in identifying noteworthy hotel reviews. Specifically, content features have been shown to have most impact, followed by sentiment and quality.
Advisors/Committee Members: Keng-Pei Lin (chair), Yih%20Hwang%22%29&pagesize-30">San-YihHwang (committee member), Tsang-Hsiang Cheng (chair), Shie-Jue Lee (chair).

► The emission volume increase of greenhouse gas (GHG) has caused the planet heating up and the climate change dramatically. No matter who causes the situation,…
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▼ The emission volume increase of greenhouse gas (GHG) has caused the planet heating up and the climate change dramatically. No matter who causes the situation, such as society, enterprises or even individuals, all of them should take responsibilities in reducing the emission volume of the greenhouse gas. In recent years, the concept of the carbon footprint gradually rises. Consumers are more familiar to this concept and tend to choose the products that processes less carbon footprint. On the other hand, from the viewpoint of the enterprises, carbon footprint makes their supply chain more efficient and become more environmental friendly due to the concept of green supply chain.
Our study employs ontology to build a model for the manufacturing processes in the real world. This model incorporates ontologies, statistic software and prolog language for inference, which can be used for carbon footprint reasoning. A prototype based on the proposed model is developed using Java and able to calculate the carbon footprint labeling of individual services or products. Finally, we evaluate our carbon footprint labeling approach and describe the research limitations and future works.
Advisors/Committee Members: Yu-Chen Yang (chair), Wan-Shiou Yang (chair), Yih%20Hwang%22%29&pagesize-30">San-YihHwang (committee member).

► Service blueprint and Business Process Modeling Notation (BPMN) are two most widely used methods in todayâs process modeling techniques. Service blueprint focuses on customer experience…
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▼ Service blueprint and Business Process Modeling Notation (BPMN) are two most widely used methods in todayâs process modeling techniques. Service blueprint focuses on customer experience and service process, whereas BPMN can be used for the detailed specification of any process, including service process, manufacturing processes and also on.
However, although they are both process modeling methods, there are some differences so that service designer cannot convert one to the other seamlessly. Imagine that if we use service blueprint to depict the preliminary service process, and indicate the Physical Evidence and Failure Point. Then, we convert it to BPMN for detailed process modelling, even for running the simulation using some BPMN modeling tool. Such a procedure can improve the performance of service process modeling. Thus, in our research, we try to develop a system which allows the service designer to draw service blueprint and convert it to BPMN. We first discuss the elements of service blueprint and BPMN, and define the mapping elements between service blueprint and BPMN. Then, we use the design science methodology to develop a system to draw the service blueprint and convert it to BPMN. Finally, we use the PSSUQ survey to evaluate the system. From our result, it indicates that users think our system can improve the efficiency of drawing service blueprint and converting it to BPMN.
Advisors/Committee Members: Wan-Shiou Yang (chair), Yih%20Hwang%22%29&pagesize-30">San-YihHwang (committee member), Hui-Mei Hsu (chair).

Sung, H. (2016). The Design and Implementation of A Service Blueprint Tool and its Conversion to BPMN. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0725116-153410

Note: this citation may be lacking information needed for this citation format:Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sung, Hsin-Ying. “The Design and Implementation of A Service Blueprint Tool and its Conversion to BPMN.” 2016. Thesis, NSYSU. Accessed March 21, 2019.
http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0725116-153410.

Note: this citation may be lacking information needed for this citation format:Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sung, Hsin-Ying. “The Design and Implementation of A Service Blueprint Tool and its Conversion to BPMN.” 2016. Web. 21 Mar 2019.

Vancouver:

Sung H. The Design and Implementation of A Service Blueprint Tool and its Conversion to BPMN. [Internet] [Thesis]. NSYSU; 2016. [cited 2019 Mar 21].
Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0725116-153410.

Note: this citation may be lacking information needed for this citation format:Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sung H. The Design and Implementation of A Service Blueprint Tool and its Conversion to BPMN. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0725116-153410

Note: this citation may be lacking information needed for this citation format:Not specified: Masters Thesis or Doctoral Dissertation

▼ Web services can be broadly classified into two types, namely effect providing (EP) services and data providing (DP) services. In this work, we address DP service composition problem that intends to satisfy user preference specified at the instance level, namely the expected occurrence. We first use the query rewriting method to identify a composition of service types that satisfies userâs requirement and employ Bayesian Network model to express the causal relationship between exchange variables of DP service types. Service selection is then conducted by computing the posterior probability in the Bayesian Network. We conduct experiments to show that our proposed Bayesian Network-based method outperforms the other baseline methods in terms of execution success rate and data quality. It also has reasonable execution time.
Advisors/Committee Members: Chun-I Fan (chair), Yih%20Hwang%22%29&pagesize-30">San-YihHwang (committee member), Hsiang-Li Chiang (chair).